What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Operating system
- Statistics
His primary areas of study are Computer security, Cryptocurrency, Currency, Smart contract and Cryptography.
His Computer security study combines topics in areas such as Scheme and Scalability.
The study incorporates disciplines such as Database transaction, Database, Volume, Protocol and Anonymity in addition to Cryptocurrency.
His Anonymity research incorporates elements of Key management, Key, Electronic money and Internet privacy.
His Smart contract research is multidisciplinary, incorporating perspectives in Virtual currency, Cryptographic protocol, Software deployment and Financial transaction.
His studies deal with areas such as Electronic cash, Internet Protocol and Interoperability as well as Cryptography.
His most cited work include:
- Hawk: The Blockchain Model of Cryptography and Privacy-Preserving Smart Contracts (954 citations)
- SoK: Research Perspectives and Challenges for Bitcoin and Cryptocurrencies (660 citations)
- On Scaling Decentralized Blockchains (594 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Cryptocurrency, Artificial intelligence, Computer security, Stereochemistry and Computer vision.
In his research, Overhead is intimately related to Protocol, which falls under the overarching field of Cryptocurrency.
His work on Image and Object detection as part of general Artificial intelligence research is frequently linked to Basketball, bridging the gap between disciplines.
When carried out as part of a general Computer security research project, his work on Blockchain and Cryptography is frequently linked to work in Service provider, therefore connecting diverse disciplines of study.
His Cryptography research is multidisciplinary, incorporating elements of Programming language and Theoretical computer science.
Andrew Miller has included themes like Platelet-activating factor, Alkyl and Metalloproteinase in his Stereochemistry study.
He most often published in these fields:
- Cryptocurrency (20.69%)
- Artificial intelligence (18.53%)
- Computer security (18.53%)
What were the highlights of his more recent work (between 2018-2021)?
- Artificial intelligence (18.53%)
- Computer security (18.53%)
- Cryptocurrency (20.69%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Artificial intelligence, Computer security, Cryptocurrency, Machine learning and Cryptography.
His research in the fields of Pattern recognition overlaps with other disciplines such as Inductive bias.
The various areas that Andrew Miller examines in his Computer security study include Network topology and Scalability.
He performs integrative study on Cryptocurrency and Lightning.
His Machine learning study incorporates themes from Probabilistic logic and Food seeking.
Andrew Miller focuses mostly in the field of Cryptography, narrowing it down to topics relating to Process calculus and, in certain cases, Provable security.
Between 2018 and 2021, his most popular works were:
- Ekiden: A Platform for Confidentiality-Preserving, Trustworthy, and Performant Smart Contracts (62 citations)
- Sprites and State Channels: Payment Networks that Go Faster Than Lightning (54 citations)
- Pisa: Arbitration Outsourcing for State Channels (53 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Operating system
- Statistics
Cryptocurrency, Computer security, Database transaction, Network topology and Robustness are his primary areas of study.
The concepts of his Cryptocurrency study are interwoven with issues in Construct, Payment and State.
His research integrates issues of Scalability and Communication channel in his study of Computer security.
He combines subjects such as Scheme, Overlay network, Network measurement and Upload with his study of Database transaction.
His Network topology study integrates concerns from other disciplines, such as Exploit and Node.
The Robustness study combines topics in areas such as Computation, Cloud computing, Computer network, Abort and Implementation.
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